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Profitable Sustained Growth Aided by AI and Machine Learning
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
Applicable Functions
- Business Operation
Use Cases
- Predictive Quality Analytics
Services
- Data Science Services
The Challenge
MinterEllison, a multinational top-tier law and professional services firm, was looking to grow profitably and sustainably as part of its 2025 strategy. The firm, which operates in five countries, needed a more sophisticated, predictive lens to understand what might happen, especially in the wake of the COVID-19 pandemic. The firm's existing data analytics platform was not sufficient for this task. The firm's Head of Data and Analytics, Shaheen Saud, emphasized the need for a good understanding of performance and opportunities, which prompted MinterEllison to take an innovative look at its IT and digital services infrastructure.
About The Customer
MinterEllison is a multinational top-tier law and professional services firm established in Sydney in 1827. Today, it is one of the largest law firms in Australia and operates in Hong Kong, mainland China, Mongolia, New Zealand, and the United Kingdom through a network of integrated offices and associated offices. The firm has a holistic approach to its business, aiming for profitable and sustainable growth. As part of its 2025 strategy, the firm has put innovation and digital transformation at the heart of its operations, collaborating with its clients and people in a unique way.
The Solution
To achieve its goal of predictive analysis, MinterEllison turned to the DataRobot AI Cloud Platform and automated decision intelligence solution. The firm worked closely with the DataRobot account management team to design a predictive model that would provide insight to every stakeholder on what might happen. The DataRobot AI Cloud is a user-friendly intuitive platform which allows non-data scientists, and particularly business users, to come up to speed and start delivering results quickly. With minimal investment in time, resourcing, and dollars, the firm adopted the AI machine learning experiment successfully.
Operational Impact
Quantitative Benefit
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